Paper Info
Title
Performance analysis of the ANGEL system for automated control of game traffic prioritisation
Abstract
The Automated Network Games Enhancement Layer (ANGEL) [6] is a novel architecture for meeting Quality of Service (QoS) requirements of real-time network game traffic across consumer broadband links. ANGEL utilises detection of game traffic in the ISP network via the use of Machine Learning techniques and then uses this information to inform network routers - in particular the home access modem where bandwidth is limited - of these flows such that the traffic may be prioritised. In this paper we present the performance characteristics of the fully built ANGEL system. In particular we show that ANGEL is able to detect game traffic with better than 96% accuracy and effect prioritisation within a second of game flow detection. We also demonstrate the processing performance of key ANGEL components under typical hardware scenarios.
Year
DOI
Venue
2007
10.1145/1326257.1326279
NetGames
Keywords
Field
DocType
performance analysis,real-time network game traffic,game traffic prioritisation,isp network,angel system,game traffic,game flow detection,key angel component,network routers,performance characteristic,processing performance,automated control,angel utilises detection,real time,traffic classification,quality of service,machine learning
Traffic classification,Architecture,Simulation,Computer science,Computer network,Quality of service,Broadband,Bandwidth (signal processing),Automated control
Conference
Citations 
PageRank 
References 
6
0.59
11
Authors
5
Name
Order
Citations
PageRank
J. But1689.17
Thuy Nguyen279542.13
Lawrence Stewart35134.56
Nigel Williams428111.90
G. Armitage51733107.92